Triple

T21799721
Position Surface form Disambiguated ID Type / Status
Subject Lake Bell E538204 entity
Predicate notableWork P4 FINISHED
Object Surface NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Surface | Statement: [Lake Bell, notableWork, Surface]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surface
Context triple: [Lake Bell, notableWork, Surface]
  • A. Surface
    Surface is Microsoft's line of touchscreen-based personal computing devices, including laptops, tablets, and 2-in-1 hybrids.
  • B. Surface chosen
    "Surface" is a television series co-created by writer-producer Dan Dworkin, known for its blend of mystery, science fiction, and character-driven drama.
  • C. Surfacing
    Surfacing is a 1972 novel by Margaret Atwood that blends psychological mystery with feminist and environmental themes as it follows a woman’s search for her missing father in rural Quebec.
  • D. Surfacing
    "Surfacing" is a ferocious, fan-favorite metal track by Slipknot, renowned for its aggressive sound and rebellious lyrics that helped define the band's early identity.
  • E. Surfacing
    Surfacing is a 1997 studio album by Canadian singer-songwriter Sarah McLachlan that features some of her most commercially successful and critically acclaimed songs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f077fd59048190ae4e50f4aee919e7 completed April 28, 2026, 9:03 a.m.
Created at: April 16, 2026, 6:53 p.m.